Evidence map›Paper›PMID 31415755›Full record

SynthesisCell host & microbe2019

The Landscape of Genetic Content in the Gut and Oral Human Microbiome.

Braden T Tierney, Zhen Yang, Jacob M Luber, Marc Beaudin, Marsha C Wibowo, Christina Baek, Eleanor Mehlenbacher, Chirag J Patel, Aleksandar D Kostic

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Cell host & microbe, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 200 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
200citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

200 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Molecules (Basel, Switzerland) · 2020
    Pooled it
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  11. The Role of Selected Bacteria in Breast Cancer Initiation and Development.International journal of molecular sciences · 2026
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140 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Braden T TierneySection on Pathophysiology and Molecular Pharmacology, Joslin Diabetes Center, Boston, MA, USA; Section on Islet Cell and Regenerative Biology, Joslin Diabetes Center, Boston, MA, USA; Department of Microbiology and Immunobiology, Harvard Medical School, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Zhen YangSection on Pathophysiology and Molecular Pharmacology, Joslin Diabetes Center, Boston, MA, USA; Section on Islet Cell and Regenerative Biology, Joslin Diabetes Center, Boston, MA, USA; Department of Microbiology and Immunobiology, Harvard Medical School, Boston, MA, USA; Department of Combinatorics and Optimization, University of Waterloo, Waterloo, Ontario, Canada.
Jacob M LuberSection on Pathophysiology and Molecular Pharmacology, Joslin Diabetes Center, Boston, MA, USA; Section on Islet Cell and Regenerative Biology, Joslin Diabetes Center, Boston, MA, USA; Department of Microbiology and Immunobiology, Harvard Medical School, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Marc BeaudinSection on Pathophysiology and Molecular Pharmacology, Joslin Diabetes Center, Boston, MA, USA; Section on Islet Cell and Regenerative Biology, Joslin Diabetes Center, Boston, MA, USA; Department of Microbiology and Immunobiology, Harvard Medical School, Boston, MA, USA; Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Marsha C WibowoSection on Pathophysiology and Molecular Pharmacology, Joslin Diabetes Center, Boston, MA, USA; Section on Islet Cell and Regenerative Biology, Joslin Diabetes Center, Boston, MA, USA; Department of Microbiology and Immunobiology, Harvard Medical School, Boston, MA, USA.
Christina BaekDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.
Eleanor MehlenbacherBoston, MA.
Chirag J PatelDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. Electronic address: Chirag_Patel@hms.harvard.edu.
Aleksandar D KosticSection on Pathophysiology and Molecular Pharmacology, Joslin Diabetes Center, Boston, MA, USA; Section on Islet Cell and Regenerative Biology, Joslin Diabetes Center, Boston, MA, USA; Department of Microbiology and Immunobiology, Harvard Medical School, Boston, MA, USA. Electronic address: Aleksandar.Kostic@joslin.harvard.edu.

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Big Data Analysis of HIV Risk and Epidemiology in Sub-Saharan AfricaR01AI127250 · NIAID · STANFORD UNIVERSITY · PI BENDAVID, ERAN, PATEL, CHIRAG J. · 2017 to 2020
$2.7M
Harvard Training Program in Bioinformatics Applied to Diabetes, Obesity and Metabolism.T32DK110919 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI FLOREZ, JOSE CARLOS, PATEL, CHIRAG J. · 2017 to 2021
$1.3M
Data-driven identification of environmental factors in cardiovascular diseaseR00ES023504 · NIEHS · HARVARD MEDICAL SCHOOL · PI PATEL, CHIRAG J. · 2016 to 2018
$728k
Increasing the power of GxE detection by using multi-locus genome-wide predictorsR21ES025052 · NIEHS · HARVARD MEDICAL SCHOOL · PI PATEL, CHIRAG J. · 2015 to 2017
$434k
Data-driven identification of environmental factors in cardiovascular diseaseK99ES023504 · NIEHS · HARVARD MEDICAL SCHOOL · PI PATEL, CHIRAG J. · 2014 to 2015
$245k
NHGRI NIH HHS T32 HG002295NIAID NIH HHS R01 AI127250NIDDK NIH HHS P30 DK036836NIDDK NIH HHS T32 DK110919NIEHS NIH HHS K99 ES023504NIEHS NIH HHS R00 ES023504NIEHS NIH HHS R21 ES025052
6 · The paper itself

Abstract

Despite substantial interest in the species diversity of the human microbiome and its role in disease, the scale of its genetic diversity, which is fundamental to deciphering human-microbe interactions, has not been quantified. Here, we conducted a cross-study meta-analysis of metagenomes from two human body niches, the mouth and gut, covering 3,655 samples from 13 studies. We found staggering genetic heterogeneity in the dataset, identifying a total of 45,666,334 non-redundant genes (23,961,508 oral and 22,254,436 gut) at the 95% identity level. Fifty percent of all genes were "singletons," or unique to a single metagenomic sample. Singletons were enriched for different functions (compared with non-singletons) and arose from sub-population-specific microbial strains. Overall, these results provide potential bases for the unexplained heterogeneity observed in microbiome-derived human phenotypes. One the basis of these data, we built a resource, which can be accessed at https://microbial-genes.bio.

Indexed as

BacteriaBiodiversityCluster AnalysisDatabases, FactualDNA FingerprintingGastrointestinal TractGenetic HeterogeneityHost Microbial InteractionsHumansMetagenomeMetagenomicsMicrobiotaMouthMultigene FamilyPhenotypede novo assemblygene cataloggene diversitygut microbiomemetagenomicsmicrobial diversityoral microbiome

Identifiers

PMID31415755
PMCPMC6716383

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.